scispace - formally typeset
Journal ArticleDOI

Distributed H ∞ Filtering for a Class of Markovian Jump Nonlinear Time-Delay Systems Over Lossy Sensor Networks

TLDR
A distributed filter design scheme is outlined by explicitly characterizing the filter gains in terms of some matrix inequalities and simulation results demonstrate the effectiveness of the proposed filtering scheme.
Abstract
This paper is concerned with the distributed H∞ filtering problem for a class of discrete-time Markovian jump nonlinear time-delay systems with deficient statistics of mode transitions. The system measurements are collected through a lossy sensor network subject to randomly occurring quantization errors and randomly occurring packet dropouts. The description of deficient statistics of mode transitions that account for known, unknown, and uncertain transition probabilities is comprehensive. A distributed filter design scheme is outlined by explicitly characterizing the filter gains in terms of some matrix inequalities. Simulation results demonstrate the effectiveness of the proposed filtering scheme.

read more

Citations
More filters
Journal ArticleDOI

Non-fragile distributed mode-dependent dissipative state estimation of uncertain Markov jump systems over sensor networks:

TL;DR: This paper considers the non-fragile distributed state estimation problem for Markov jump systems over sensor networks based on dissipative theory and establishes sufficient conditions with desired mode-dependent estimators such that the prescribed dissipative performance can be achieved.
Proceedings ArticleDOI

State estimation for a class of complex networks with event-triggered transmission scheme

TL;DR: In this paper, the state estimation problem is investigated for a class of complex networks with the event-triggered transmission scheme, and the desired estimator gain matrices are derived via solving a convex problem based on Lyapunov theory combined with the stochastic analysis approach.
Proceedings ArticleDOI

Distributed H ∞ filtering of sensor networks with/without asymmetric intercommunication delays

TL;DR: A refined technique is provided to realize the complicated decoupling between the specifical sensor node and its underlying neighboring ones in the presence of intercommunication delays.
Book ChapterDOI

Guaranteed Cost Control for Markovian Jump Systems with Uncertain Probabilities Subject to Channel Fadings

TL;DR: In this paper , the guaranteed cost control problem for a class of discrete-time Markovian jump systems with defective statistics of mode transitions and channel fadings is investigated, and sufficient conditions are established under which the closed-loop system is stochastically stable and a guaranteed cost level is satisfied for all admissible uncertain statistics.
References
More filters
Journal ArticleDOI

The sector bound approach to quantized feedback control

TL;DR: The coarsest quantization densities for stabilization for multiple-input-multiple-output systems in both state feedback and output feedback cases are derived and conditions for quantized feedback control for quadratic cost and H/sub /spl infin// performances are derived.

The sector bound approach to quantized feedback control | NOVA. The University of Newcastle's Digital Repository

Minyue Fu, +1 more
TL;DR: In this paper, a number of quantized feedback design problems for linear systems were studied and the authors showed that the classical sector bound approach is non-conservative for studying these design problems.
Journal ArticleDOI

Opportunities and Challenges of Wireless Sensor Networks in Smart Grid

TL;DR: A comprehensive experimental study on the statistical characterization of the wireless channel in different electric-power-system environments, including a 500-kV substation, an industrial power control room, and an underground network transformer vault is presented.
Journal ArticleDOI

A new delay system approach to network-based control

TL;DR: A sampled-data networked control system with simultaneous consideration of network induced delays, data packet dropouts and measurement quantization is modeled as a nonlinear time-delay system with two successive delay components in the state and the problem of network-based H"~ control is solved accordingly.
Journal ArticleDOI

${\cal H}_{\infty}$ Estimation for Uncertain Systems With Limited Communication Capacity

TL;DR: This paper proposes a parameter-dependent filter design procedure, which is much less conservative than the quadratic approach and provides alternatives for designing robust Hinfin filters with different degrees of conservativeness and computational complexity.
Related Papers (5)